An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

In this context, supervised learning tools offer effective solutions for leveraging medical and behavioral data to predict the presence of diabetes. This study proposes a Support Vector Machine (SVM) ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...

Machine learning algorithms are the riding force at the back of the cutting-edge artificial intelligence (AI) revolution.

No Code AI: Automatic Generation of Function Block Diagrams from Documentation and Associated Heuristic for Context-Aware ML Algorithm Training Abstract: Industrial process engineering and PLC program ...